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Record W2132528989 · doi:10.1016/j.ejcts.2004.07.040

Vasomotor dysfunction after cardiac surgery

2004· review· en· W2132528989 on OpenAlex
Marc Ruel

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Journal of Cardio-Thoracic Surgery · 2004
Typereview
Languageen
FieldMedicine
TopicCardiac Ischemia and Reperfusion
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCardiopulmonary bypassMedicineVasomotorCardiac surgeryAnesthesiaCardiologyInternal medicine

Abstract

fetched live from OpenAlex

Cardiopulmonary bypass and cardioplegic arrest, which allow for support of the circulation and stabilization of the heart during cardiac procedures, are still used for the vast majority of cardiac operations worldwide. However, in addition to a well-recognized systemic inflammatory response, cardiopulmonary bypass and cardioplegic arrest elicit complex, multifactorial vasomotor disturbances that vary according to the affected organ bed, with reduced vascular resistances in the skeletal muscle and peripheral circulation, and increased propensity to spasm in the cardiac, pulmonary, mesenteric and cerebral vascular beds. This article outlines the nature, mechanistic basis, and clinical correlates of the vasomotor alterations encountered in patients undergoing cardiac surgery using cardiopulmonary bypass and cardioplegic arrest.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.942
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.017
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.299
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it